publishing-python-packages
pythonfluente2e
| publishing-python-packages | pythonfluente2e | |
|---|---|---|
| 2 | 1 | |
| 76 | 326 | |
| - | 1.2% | |
| 0.0 | 8.1 | |
| 25 days ago | 7 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
publishing-python-packages
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How to improve Python packaging, or why 14 tools are at least 12 too many
I don't agree with all the points from the article, but I do agree there is a depth of learning to be had about creating packages (and doing it repeatably/scalably). I wrote a book about creating Python packages that just came out: https://pypackages.com
Even this book doesn't cover all options in each area, and it skips almost wholly over conda because I have no personal experience using it. conda and the work in the scientific community adds complexity both to the creation and the consumption side of packaging, and that's one area I'm not sure this post covers all the nuance of when considering how a "one size fits all" solution might work in practice.
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Publishing Python Packages: available now!
If reading code is more your thing, you might want to check out the code companion.
pythonfluente2e
What are some alternatives?
sigstore-python - A Sigstore client for Python
Booklet - Making Booklet file from your own PDF
pigar - :coffee: A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)
django-crash-starter - The Cookiecutter template for the Django Crash Course tutorial by Daniel and Audrey Feldroy.
roadmap - Public roadmap for the Poetry package manager
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
tox-pin-deps - Run tox environments with strictly pinned dependencies (and no project or code changes).
asciidoc-py - Legacy python processor for AsciiDoc
scientific-visualization-book - An open access book on scientific visualization using python and matplotlib
the-code-book - code along to Simon Singh's "The Code Book"